Emotion Recognition in Sign Language Conversation
Researchers created a new dataset, eJSL Dialog, to test emotion recognition in sign language conversations. They found that standard multimodal models fail because they lack context-aware visual understanding specific to sign language. This proves that successful emotion tracking requires combining visual cues, historical dialogue context, and textual information.